Submitted by fedegarzar t3_zk6h8q in MachineLearning
Delta-tau t1_j01aysc wrote
Reply to comment by TaXxER in [Discussion] Amazon's AutoML vs. open source statistical methods by fedegarzar
In statistics jargon, classical methods are all frequentist inference methods which rely on asymptotic theory and p-values. Some of them, like linear regression, logistic regression, or ARMA models are nowadays viewed as ML. I guess the "ML" label is a bit vague and changes over time.
TaXxER t1_j01xpkt wrote
Yeah I’m aware that linear and logistic regression are classical methods and are in the weird spot where they sometimes are and sometimes are not regarded as ML.
My comment was mostly aimed to argue against this claim in the comment that I replied to:
> Classic AI methods usually refers to non-statistical methods
xgboostftw t1_j02ifkc wrote
I think the terminology is more common in the forecasting niche where (especially since the M4, M5 competitions) they started to separate out tree and NN architectures into "ML" and all other methods used for last 50 years are deemed "classical".
Delta-tau t1_j02rk0k wrote
Yeah I guess "classical" can mean different things depending on the context.
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